NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.
Uploaded | Mon Mar 31 00:02:52 2025 |
md5 checksum | 6d5a0e45b9af9ae7bf6794bdb69290c5 |
arch | x86_64 |
build | py311h30b3d60_0 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.22,<2.0a0, python >=3.11,<3.12.0a0 |
license | BSD 3-Clause |
md5 | 6d5a0e45b9af9ae7bf6794bdb69290c5 |
name | mkl_fft |
platform | linux |
sha1 | bfdd2778d6760311e007e81c03a56019aae38945 |
sha256 | 7b366878e488f0e6e7716b5f6050d4fd840ef3ec78de0003a81b1c10df2de6de |
size | 187496 |
subdir | linux-64 |
timestamp | 1676828111586 |
version | 1.3.1 |